This guide details how to connect to a C3 cluster, search for data you want to use,
fetch that data, and convert it into a form that you can easily analyze.

Connecting to a C3 Cluster

Getting a representation of the internal Data Model

Fetching Instances of Types

Data Fetching Documentations if you are using Browser Developing Tools: https://developer.c3.ai/docs/7.12.0/guide/guide-c3aisuite-basic/di-monitoring-and-troubleshooting

Data Fetching Documentations if you are using Python Jupyter Notebook: https://developer.c3.ai/docs/7.12.0/topic/ds-jupyter-notebooks

An Code Example:

## fetching all BlockInfo c3 type entries with field "prop_urban"  >= 0.8 and field "med10_age" > 1990.
c3Grid(BlockInfo.fetch({filter: "prop_urban >=0.8 && med10_age > 1990"}))

Converting Fetch results to usable forms

Executing Metrics on Time series data